The world's population has been evolving rapidly; every country in the world is facing this drastic progression in the number and the percentage of the elderly in their net population. As the chronological age advances, physiological and psychosocial decline will be evident among all older adults. The potentially relevant literature was identified using appropriate search terms in electronic databases such as PubMed MEDLINE, Scopus, ProQuest, Web of Science, CINAHL, IndMed, and Google Scholar. Articles published from 2006 to 2019, reported the prevalence and the risk factors for depression among older adults living in the community, old age homes, or hospitals of the South Asian countries. Articles were published in the languages other than English and those reporting the categorised or mean depressive scores were excluded from the review. After quality check for all the retrieved articles from different databases, 120 articles were included for the meta‐analysis. The data were extracted based on a validated data extraction form, and the reviewer contacted the authors for clarification of the missing data whenever required. The estimates were pooled using the random effect model for meta‐analyses. Sub‐group and sensitivity analyses were also performed. The overall pooled estimate (random effect models) of the prevalence of depression among the elderly was 42.0% (95% CI: 0.38–0.46), Chi‐squared P‐value <0.001, and I2 99.14%. The pooled estimate of the prevalence was higher in the community settings than the old age homes (44.0%; 95% CI: 39.0–49.0 vs. 42.0%; 95% CI: 34.0–49.0). Depression is a common problem among the elderly population and the pooled estimate of depression would give directions to the healthcare providers, policymakers, and future researchers to plan some measures (either pharmacological or non‐pharmacological interventions) to effectively tackle the burden of geriatric depression in the future.
The world's population has been evolving rapidly; every country in the world is facing this drastic progression in the number and the percentage of the elderly in their net population. As the chronological age advances, physiological and psychosocial decline will be evident among all older adults. The potentially relevant literature was identified using appropriate search terms in electronic databases such as PubMed MEDLINE, Scopus, ProQuest, Web of Science, CINAHL, IndMed, and Google Scholar. Articles published from 2006 to 2019, reported the prevalence and the risk factors for depression among older adults living in the community, old age homes, or hospitals of the South Asian countries. Articles were published in the languages other than English and those reporting the categorised or mean depressive scores were excluded from the review. After quality check for all the retrieved articles from different databases, 120 articles were included for the meta‐analysis. The data were extracted based on a validated data extraction form, and the reviewer contacted the authors for clarification of the missing data whenever required. The estimates were pooled using the random effect model for meta‐analyses. Sub‐group and sensitivity analyses were also performed. The overall pooled estimate (random effect models) of the prevalence of depression among the elderly was 42.0% (95% CI: 0.38–0.46), Chi‐squared P‐value <0.001, and I2 99.14%. The pooled estimate of the prevalence was higher in the community settings than the old age homes (44.0%; 95% CI: 39.0–49.0 vs. 42.0%; 95% CI: 34.0–49.0). Depression is a common problem among the elderly population and the pooled estimate of depression would give directions to the healthcare providers, policymakers, and future researchers to plan some measures (either pharmacological or non‐pharmacological interventions) to effectively tackle the burden of geriatric depression in the future.
“…Qadir et al (2014) reported prevalence of depression in elderly of 31.5% in Pakistan. Similarly, this disorder was found to be significantly higher among Indian older adults with range between 31.4% and 39.6% (Buvneshkumar et al, 2018;Ganganapalli et al, 2019;Soni et al, 2016;Zalavadiya et al, 2017). However, our finding was found to be higher than in some studies.…”
This cross-sectional study is to examine the prevalence of depression and associated factors among 110 ethnic minority elderly in Kon Tum city, Vietnam. Depression was assessed using 30-items Geriatric Depression Scale. Multivariate linear regression analysis was employed to identify factors associated with depression. The prevalence of depression among participants was 25.5%. All were classified as mild depression level. Depression was significantly associated with age, gender, educational level, chronic diseases, stressful life events in the past 12 months, and family history of depression. These risk factors can help formulate effective public health programs to improve mental health among ethnic minority elderly.
“…These results were comparatively less as compared to the other similar studies done in different areas like Ludhiana, Bihar, Vellore and Dharwad by various authors. 7,8,9 This difference may be attributed due to different characteristics of the study population and difference in number of the total sample taken for the study. In this study though male and female population were almost equally distributed still males were more associated with depression in comparision to females, though this difference was not statistically significant.…”
Introduction: Depression (major depressive disorder) is a common and serious medical illness that negatively affects how you feel, the way you think and how you act. Depression is now categorised among
IntroductionDepression (major depressive disorder) is a common and serious medical illness that negatively affects how you feel, the way you think and how you act. Depression can results in reduced life satisfaction and quality and along with that it also leads to cognitive decline as well
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